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DBMS > Databricks vs. Firebolt vs. JaguarDB vs. SiriDB vs. Sphinx

System Properties Comparison Databricks vs. Firebolt vs. JaguarDB vs. SiriDB vs. Sphinx

Editorial information provided by DB-Engines
NameDatabricks  Xexclude from comparisonFirebolt  Xexclude from comparisonJaguarDB  Xexclude from comparisonSiriDB  Xexclude from comparisonSphinx  Xexclude from comparison
DescriptionThe Databricks Lakehouse Platform combines elements of data lakes and data warehouses to provide a unified view onto structured and unstructured data. It is based on Apache Spark.Highly scalable cloud data warehouse and analytics product infoForked from ClickhousePerformant, highly scalable DBMS for AI and IoT applicationsOpen Source Time Series DBMSOpen source search engine for searching in data from different sources, e.g. relational databases
Primary database modelDocument store
Relational DBMS
Relational DBMSKey-value store
Vector DBMS
Time Series DBMSSearch engine
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score81.08
Rank#15  Overall
#2  Document stores
#10  Relational DBMS
Score1.73
Rank#140  Overall
#63  Relational DBMS
Score0.06
Rank#381  Overall
#59  Key-value stores
#13  Vector DBMS
Score0.07
Rank#378  Overall
#42  Time Series DBMS
Score5.95
Rank#55  Overall
#5  Search engines
Websitewww.databricks.comwww.firebolt.iowww.jaguardb.comsiridb.comsphinxsearch.com
Technical documentationdocs.databricks.comdocs.firebolt.iowww.jaguardb.com/­support.htmldocs.siridb.comsphinxsearch.com/­docs
DeveloperDatabricksFirebolt Analytics Inc.DataJaguar, Inc.CesbitSphinx Technologies Inc.
Initial release20132020201520172001
Current release3.3 July 20233.5.1, February 2023
License infoCommercial or Open SourcecommercialcommercialOpen Source infoGPL V3.0Open Source infoMIT LicenseOpen Source infoGPL version 2, commercial licence available
Cloud-based only infoOnly available as a cloud serviceyesyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++ infothe server part. Clients available in other languagesCC++
Server operating systemshostedhostedLinuxLinuxFreeBSD
Linux
NetBSD
OS X
Solaris
Windows
Data schemeFlexible Schema (defined schema, partial schema, schema free)yesyesyesyes
Typing infopredefined data types such as float or dateyesyesyes infoNumeric datano
XML support infoSome form of processing data in XML format, e.g. support for XML data structures, and/or support for XPath, XQuery or XSLT.yesnono
Secondary indexesyesyesyesyesyes infofull-text index on all search fields
SQL infoSupport of SQLwith Databricks SQLyesA subset of ANSI SQL is implemented infobut no views, foreign keys, triggersnoSQL-like query language (SphinxQL)
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
.Net
ODBC
RESTful HTTP API
JDBC
ODBC
HTTP APIProprietary protocol
Supported programming languagesPython
R
Scala
Go
JavaScript (Node.js)
Python
C
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Scala
C
C++
Go
Java
JavaScript (Node.js)
PHP
Python
R
C++ infounofficial client library
Java
Perl infounofficial client library
PHP
Python
Ruby infounofficial client library
Server-side scripts infoStored proceduresuser defined functions and aggregatesnononono
Triggersnononono
Partitioning methods infoMethods for storing different data on different nodesShardingShardingSharding infoPartitioning is done manually, search queries against distributed index is supported
Replication methods infoMethods for redundantly storing data on multiple nodesyesdepending on storage layerMulti-source replicationyesnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integritynonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnonono
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes infoThe original contents of fields are not stored in the Sphinx index.
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonoyes
User concepts infoAccess controlrights management via user accountssimple rights management via user accountsno
More information provided by the system vendor
DatabricksFireboltJaguarDBSiriDBSphinx
Specific characteristicsSupported database models : In addition to the Document store and Relational DBMS...
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More resources
DatabricksFireboltJaguarDBSiriDBSphinx
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